Posters
Come meet the poster presenters to ask them questions and discuss their work
Check the programme for our poster viewing moments. For more details on each poster, click on the poster titles to read the abstract.
PO003: Innovative method to evaluate turbine upgrades - Poster pitch
Bruno Pinto, Chief Technology Officer, Sereema
PO004: Progress in Aerodynamic Imbalance Detection : Pitch Health Indicator using SCADA data
Nicolas Quiévy, Wind Technology Manager, ENGIE
PO008: Comparison of wind speed and TI measurement in induction zone from 3 sensor technologies
Olivier Coupiac, Wind & Solar Analyst, INNERGEX
PO009: Method for the analysis of the effect of Power Smoothing on the cost of active power reserves
Andrés Peña Asensio, Control Algorithms Engineer, Siemens Gamesa Renewable Energy
PO010: Performance Analysis of Wind Farm with SCADA data: from the methodology to a case study
Gang Huang, Research engineer, Meteodyn
PO011: Wind turbine lifecycle assessment and long-term performance evaluation through SCADA data analysis
Davide Astolfi, Post Doc, University of Perugia
PO013: nabla analytics: wind assets guardian, monitoring loads and performance, while guiding preventive O&M
Ahmed Moussa, Head of Business Development, Nabla Wind Hub
PO014: Development of a new degradation oil test method for gearbox oils using the color measurement
Yesid Antonio Gomez, OCM Diagnostician Manager, Bureau Veritas
PO016: The Impact of Scour on Natural Frequency
Kester Gunn, Modelling and Analytics Expert, RWE Renewables
PO019: Concept for an open database of acoustical wind turbine measurements
Daphne Schössow, PhD Student, Institute of Communications Technology, Leibniz University Hannover
PO021: Evaluating the effective energy gain due to power performance upgrades by processing historical data with python
Serena Lamberti, Wind Technology Specialist, Eni Plenitude
PO022: From Blade to BigQuery: A case study of the Aerosense Data Gateway with open-source, production-ready code.
Marcus Lugg, Senior Software Engineer, Octue
PO025: Large-scale turbine performance monitoring using adaptive Machine Learning
Bruno Pinto, Chief Technology Officer, Sereema
PO026: Opening Up the Wind Industry - Release and Analysis of Open SCADA Data
Charlie Plumley, Performance Manager, Cubico
PO029: Streamlined deployment of value generating machine learning on live operational data
Philip Bradstock, Technical Lead, Bitbloom Ltd
PO030: Understanding data-driven power curve models with XAI - Poster pitch
Simon Letzgus, Researcher, Technische Universität Berlin
PO032: Digitalization of gearbox domain knowledge to power an automated data driven recommendations for spare parts optimization
Mihail Ivanov, Product Manager Digitalization, ZF Wind Power
PO033: How inspection findings help to drive informed maintenance decisions
Rasmus Dovnborg Frederiksen, Data Engineer, Siemens Gamesa Renewable Energy
PO034: A Hybrid Intelligent Ultra short-term wind power forecasting Method Based on Multi-Decomposition
Jiangsheng Zhu, Senior Engineer, SEWPG European Innovation Center ApS
PO035: Advanced Model Predictive Control Strategies for the Provision of Energy and Ancillary Services by Wind Farms Coupled with Storage
Simon Camal, Research engineer, MINES Paris - PSL University
PO036: Analysis of optimal use of wind power forecasting for Energy management system solution to spot markets participation
Jesús López Merino, Control Algorithms Engineer, Siemens Gamesa Renewable Energy
PO037: Automatic Feature Selection and Forecast Combination to Enhance and Generalize Renewable Energy Forecasting
Georges Kariniotakis, Professor, Head of Renewable Energies & SmartGrids Group, Centre PERSEE, MINES Paris, PSL
PO039: Forecast Based Maintenance Planning
Henrique Diogenes, Performance and Reliability Engineering Coordinator, Casa dos Ventos Energias Renováveis
PO040: Improved Short-Term Wind Power Forecasts Using Low-Latency Feedback Error Correction
Ana Rita Silva, Data Scientist, Utopus Insights
PO041: Smart4RES next-generation forecasting solutions for wind turbines, aggregations and different temporal scales
Simon Camal, Research engineer, MINES Paris - PSL University
PO042: Towards increased interpretability of AI-tools in the energy sector with focus on the wind energy trading application
Konstantinos Parginos, Ph.D. Researcher, MINES Paris - PSL University
PO044: Wind power forecasting using different weather forecast data sources: a case study
Gang Huang, Research engineer, Meteodyn
PO045: How does the accessibility of floating wind farm sites compare to existing fixed bottom sites?
David Rowell, PhD Student, University of Strathclyde
PO047: Optimized Lifetime Consumption to Increase Market Revenues and Cumulated Energy Yield
Boris Fischer, Research engineer, Fraunhofer Institut for Energy Economics and Energy System Technology (IEE)
PO048: Improving the Global wind Atlas wind speed estimates using a Kriging algorithm
Mouhamet Diallo, wind expert, Tractebel
PO051: Deep learning-based modeling of wake-induced effects in wind farms
Suguang Dou, Researcher, DTU Wind Energy
PO052: Energy yield improvement considering wake steering simulations
Cédric Dall'Ozzo, Innovation / R&D Project Manager, EDF Renouvelables
PO057: Assessment of Remaining Useful Lifetime for Wind Turbines using a Modular Digital Twin Platform
Marcus Wiens, Research Associate, Fraunhofer IWES
PO059: Comparison of the long-term sources for wind energy assessments in France and Italy
Timothé Dizengremel, Senior Engineer – Project Development & Analytics, DNV
PO060: Comparison of two methods in atmospheric stratification determination
Ru LI, Research engineer, Meteodyn
PO061: Considerations for offshore wind farm layout design and optimisation and impacts on LCoE
Jon Collins, Lead Data Scientist, Wood Thilsted
PO062: Cost-effective mesoscale modeling methods for offshore wind resource assessment with farm wake effect
Jana Fischereit, Researcher, DTU Wind and Energy Systems
PO063: Drones Swarm-Uncrewed Vessel routing and scheduling for offshore wind farm inspection
Sarinova Simandjuntak, Senior Lecturer, Universitiy of Porthsmouth
PO067: LiDAR-only load response comparison: a way towards LiDAR-only turbine suitability assessments
Sayantan Chattopadhyay, Lead Siting Solutions Engineer, Vestas
PO069: Mesoscale-microscale coupling method for Wind Resource Assessment in Large Coastal Area in India
Ru LI, Research engineer, Meteodyn
PO071: Monitoring of Floating Lidar Measurement Data with Datasets from Numerical Weather Forecasts
Warren Watson, Data Analyst, Fraunhofer IWES
PO072: Perdigão – a case study of different wind farm optimization strategies
Lasse Svenningsen, R&D Manager, EMD International A/S
PO073: Power curve of wind farm fitting base on Gaussian mixture distribution and S-curve
Gang Huang, Research engineer, Meteodyn
PO074: Reference wind speed for performance monitoring of wind farms: an operational energy assessment point-of-view
Guilherme Pedrosa, Engineering Consultant, Auren Energia
PO076: Wind Sector-Wise Distribution Modeling over Complex Terrains
Thales Delmiro, Wind Project Engineer, Casa dos Ventos Energias Renováveis
PO077: WindKit: a Python framework for wind resource assessment applications
Bjarke Tobias Olsen, Researcher, DTU Wind Energy
PO078: Wind-validation: a free and open-source python package to simplify validation
Rogier Floors, Senior Researcher, DTU Wind Energy
PO079: A control software for customised scanning and multi-lidar measurement campaigns
Doron Callies, Senior Scientist, Fraunhofer Institut for Energy Economics and Energy System Technology (IEE)
PO080: CFD-based LiDAR flow curvature correction in complex terrain
Ru LI, Research engineer, Meteodyn
PO081: Comparing different nacelle lidar measurement principles – what is their impact on the reconstructed parameters?
Paul Meyer, Winddata Analyst, Fraunhofer IWES
PO083: IEA Wind Task 52 ‘Large-Scale Deployment of Wind Lidar'
Julia Gottschall, Chief Scientist and IEA Wind Task 52 Operating Agent, Fraunhofer IWES
PO084: Industry-first classification of nacelle-mounted lidar as per new IEC 61400-50-3 standard
Robin Cote, Market and Offering Manager, Vaisala
PO085: Learnings from over 25 floating lidar validation campaigns for offshore wind resource assessment
Eric Rose, Wind Energy Researcher, TNO
PO089: Energy Yield Assessment And Optimization Using Measurement And Scada Data For Extension Projects In Complex Terrain
Mehmet Ozkan Basar, Wind & Site Engineer, Nordex Group
PO090: Power performance measurements with nacelle mounted lidars for floating offshore wind turbines
Moritz Gräfe, Research Assistant, Universität Stuttgart
PO091: Comparison of temporal downscaling techniques on Reanalysis temperature data: improving the air density time series estimation
Matheus Cunha, Wind Resource Assessment Data Analysis Coordinator, Casa dos Ventos Energias Renováveis
PO092: Ground-based lidar wind field reconstruction uncertainty propagation compared to laboratory and outdoor manufacturing tests
Andrew Black, Research and Applications Engineer, Vaisala
PO094: Introduction to the Forthcoming IEC 61400-15-2 Standard - Poster pitch
Andrew Henderson, Chief Windfarm Engineer, Copenhagen Offshore Partners
PO095: Investigating underperformance by modelling power, relying only on limited SCADA data
Mateo Obregon, Performance Data Scientist, BayWa r.e.
PO096: Investigations on de-trending and turbine loads - Poster pitch
Ingo Hirschhausen, Senior Engineer Wind and Site Assessment Methods, Nordex Group
PO098: Reduction of wind speed spatial variation uncertainties in a large on-shore wind farm array utilizing mesoscale modelling
Nikolaos Daniil, Senior Manager, Technical - Renewables, AMEA Power
PO100: The five main influencing factors for lidar errors in complex terrain
Tobias Klaas-Witt, Research staff, Fraunhofer Institut for Energy Economics and Energy System Technology (IEE)
PO101: Uncertainty quantification of CFD models for wind resource assessment using polynomial chaos
Jonas Schmidt, Senior Scientist, Fraunhofer IWES
PO102: Capacity density of offshore wind farms in Europe – Technical challenges and mitigations
Jon Collins, Lead Data Scientist, Wood Thilsted
PO103: Wake parametrization and surrogate modeling for loads and power prediction
Nicolas Bonfils, Research Engineer, IFPEN